Of science and its predictions

From: Promises, promises

Meanwhile, in bleaker moments, scientific authorities have predicted the end of the world and civilization as we know them at the hand of pandemics or environmental catastrophe. And yet we are still here, in defiance of Thomas Malthus's eighteenth-century warnings about overpopulation and ecologist Paul Ehrlich's prophesy in his 1968 book The Population Bomb that “In the 1970s and 1980s hundreds of millions of people will starve to death in spite of any crash programs embarked upon now.”

Of course, scientists have a strong incentive to make bold predictions—namely, to obtain funding, influence, and high-profile publications. But while few will be disappointed when worst-case forecasts fail to materialize, unfulfilled predictions—of which we're seeing more and more—can be a blow for patients, policy makers, and for the reputation of science itself.

In 1995, for example, an expert panel on gene therapy convened by the U.S. National Institutes of Health's then-director Harold Varmus2 concluded: “Expectations of current gene therapy protocols have been oversold. Overzealous representation of clinical gene therapy has obscured the exploratory nature of the initial studies, colored the manner in which findings are portrayed to the scientific press and public, and led to the widely held, but mistaken, perception that clinical gene therapy is already highly successful. Such misrepresentation threatens confidence in the field and will inevitably lead to disappointment in both medical and lay communities.”

Scientists have been making predictions for as long as there have been scientists. Indeed, without speculating about the future, it would be impossible to make decisions about how best to proceed. But there is reason to believe that promises are becoming more central to the scientific process.

Sir Ian Wilmut, leader of the Roslin Institute team that cloned Dolly the sheep, says that a “soundbite” media culture that demands uncomplicated, definitive, and sensational statements plays a significant role. “It's [the media] who put the most pressure on scientists to make predictions,” he says. And in a radio or TV interview that allows perhaps only 10 or 20 seconds for an answer, “it's very easy then to inadvertently mislead.”

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